Multipoint Navigation System with Time Schedule Constraints

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Solution Overview

Problem

Current navigation applications fail to efficiently plan multipoint routes that consider schedule constraints and user preferences, leading to tedious manual comparisons and often result in suboptimal route selection.

Innovation Solution

A system and method for time management and multipoint navigation that maintains a categorized targets database with location, opening hours, user preferences, and transportation limitations, calculates a time schedule with recommended departure times, and allows for automatic or semi-automatic re-calculation using real-time information, enabling efficient route planning and notification via a graphical user interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If navigation applications determine the shortest distance or fastest route based on user-specified targets and arrival order, then the route calculation is simplified, but the efficiency and schedule constraint matching deteriorate

Engineering Contradiction:

Improveroute calculation simplicityVSAvoidschedule constraint matching efficiency

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The system performs preliminary actions by automatically calculating optimal routes and arrival times before the user needs to travel. The multipoint route planner pre-determines the best sequence of destinations and arrival times based on schedule constraints, eliminating the need for users to manually analyze multiple route options during trip planning.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The navigation system provides self-service by automatically generating optimized routes and schedules without requiring extensive user input. The system autonomously processes multiple constraints (time windows, preferences, transportation limitations) and produces tailored routes, freeing users from tedious manual comparisons while maintaining personalized service.

Inventive Principle:

Principle #25Self-service

2Productivity

If users manually check different target alternatives and arrival orders to find efficient routes, then route optimization may improve, but the time and effort required deteriorates

Engineering Contradiction:

Improveroute optimizationVSAvoidtime for route comparison

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system incorporates feedback mechanisms where users can provide preferences and constraints, and the system responds with optimized route suggestions. The multipoint route planner continuously refines results based on user input and real-time conditions, providing progressively better solutions without requiring users to manually evaluate multiple alternatives.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent replaces the mechanical manual comparison process with an automated computational system. Instead of users mentally analyzing and comparing multiple routes, the system uses algorithms to process constraints and generate optimized schedules, substituting human cognitive effort with automated processing that is both faster and more thorough.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Device complexity

If navigation software provides basic routing functionality, then the device complexity is low, but the adaptability to user preferences and constraints deteriorates

Engineering Contradiction:

Improvesoftware functionalityVSAvoiduser preference accommodation

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The navigation system achieves universality by integrating multiple functions into a single platform: route planning, schedule constraint handling, preference processing, real-time updates, and navigation guidance. The multipoint route planner serves diverse user needs (time-sensitive travel, preference-based routing, constraint-driven schedules) through a unified system, increasing adaptability without proportionally increasing complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements dynamics by continuously adapting routes and schedules based on changing conditions. The multipoint route planner can re-calculate optimal paths in response to new constraints, real-time traffic conditions, or user preference changes, making the system flexible and responsive to individual user needs while maintaining a consistent user interface.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS9182242B2Systems and methods for time management and multipoint navigation

Publication Date: 2015.11.10 BRAND NOAM

AI summary

Systems and methods for time management and multipoint navigation adapted to receive at least one task to be performed by the user; calculate a time schedule; allow the user to view said time schedule and target information via a graphical user interface; allow for an automatic or semi-automatic periodic re-calculation of said time schedule according to information retrieved from a remote computing device; and allow the user to export said calculated orders and target information to a navigation aid.